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Reducing labeling effort for structured prediction tasks Aron Culotte and Andrew McCallum Department of Computer Science 140 Governor s Drive University of Massachusetts Amherst, MA 01003 4601 culotte,
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Identify the specific labeling tasks that need to be simplified or automated. For example, consider whether there are repetitive or time-consuming labeling processes that can be streamlined.
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Companies or organizations that handle large amounts of data and require extensive labeling for various purposes, such as data analysis, machine learning, or compliance.
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Government agencies or regulatory bodies that need to label information for legal or safety purposes, such as labeling of hazardous substances or nutritional information on food products.
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Reducing labeling effort is for simplifying the process of adding labels to products.
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The purpose of reducing labeling effort is to streamline the labeling process and reduce administrative burden.
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